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@@ -9,6 +9,8 @@ metrics:
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  model-index:
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  - name: distilbert-base-uncased-finetuned-imdb
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  results: []
 
 
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -16,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # distilbert-base-uncased-finetuned-imdb
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- This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.2069
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  - Accuracy: 0.9257
@@ -61,4 +63,4 @@ The following hyperparameters were used during training:
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  - Transformers 4.42.4
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  - Pytorch 2.3.0+cu121
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  - Datasets 2.20.0
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- - Tokenizers 0.19.1
 
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  model-index:
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  - name: distilbert-base-uncased-finetuned-imdb
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  results: []
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+ library_name: adapter-transformers
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+ pipeline_tag: text-classification
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  # distilbert-base-uncased-finetuned-imdb
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+ This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the IMDB dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.2069
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  - Accuracy: 0.9257
 
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  - Transformers 4.42.4
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  - Pytorch 2.3.0+cu121
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  - Datasets 2.20.0
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+ - Tokenizers 0.19.1